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IWDW08-scal-wm Source Code

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Computer Sciences Department of the University of Salzburg headed by Andreas Uhl. The short name "WaveLab" already indicates that wavelets are among our favorite tools - we have 15 years of experience in this area. Our research is focused on Multimedia Security including Watermarking, Image and Video Compression, Medical Image Classification, and Biometrics.
Python code implementing and testing the DWT and DCT domain blind additive spread spectrum watermarking schemes proposed in the paper

Peter Meerwald, Andreas Uhl, "Scalability evaluation of blind spread-spectrum image watermarking", In Proceedings of the 7th International Workshop on Digital Watermarking, IWDW '08, Lecture Notes in Computer Science, vol. 5450, pp. 61-75, Busan, South Korea, November 10 - 12, 2008.

Abstract: In this paper, we investigate the scalability aspect of blind watermark detection under combined quality and resolution adaption of JPEG2000 and JPEG coded bitstreams. We develop two multi-channel watermarking schemes with blind detection, based on additive spread-spectrum watermarking: one employs the DCT domain, the other the DWT domain. We obtain watermark scalability by combining detection results from multiple channels modeled by Generalized Gaussian distributions. Both schemes achieve incremental improvement of detection reliability as more data of a scalable bitstream becomes available.

Test images (512x512, PGM format):

Dromedary Models

See README for details.

The code is available upon request.

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